Search Results - "Umbaugh, S. E."

An automatic color segmentation algorithm with application to identification of skin tumor borders by Umbaugh, S E, Moss, R H, Stoecker, W V

“…A principal components transform algorithm for automatic color segmentation of images is described. This color segmentation algorithm was used to find tumor…”
Get more information

Compression of skin tumor images by Kjoelen, A., Umbaugh, S.E., Zuke, M.

“…The following topics are dealt with: error measures; transform-domain processing; preprocessing of color images; the principal components transform; the…”
Get full text

A Dynamic Window-Based Runlength Coding Algorithm Applied to Gray-Level Images by Kumaran, Muthu, Umbaugh, Scott E.

“…We present a new lossy technique of runlength coding applied to gray-level images. In lossless runlength coding applied to gray-level images, one finds runs of…”
Get full text

Automatic color segmentation algorithms-with application to skin tumor feature identification by Umbaugh, S.E., Moss, R.H., Stoecker, W.V., Hance, G.A.

“…Two color-image segmentation methods are described. The first is based on a spherical coordinate transform of original RGB data. The second is based on a…”
Get full text

Automatic color segmentation of images with application to detection of variegated coloring in skin tumors by Umbaugh, S.E., Moss, R.H., Stoecker, W.V.

“…A description is given of a computer vision system, developed to serve as the front-end of a medical expert system, that automates visual feature…”
Get full text

Performance of AI methods in detecting melanoma by Kjoelen, A., Thompson, M.J., Umbaugh, S.E., Moss, R.H., Stoecker, W.V.

“…This research has shown that features extracted from color skin tumor images by computer vision methods can be reliable discriminators of malignant tumors from…”
Get full text

Applying artificial intelligence to the identification of variegated coloring in skin tumors by Umbaugh, S.E., Moss, R.H., Stoecker, W.V.

“…The importance of color information for the automatic diagnosis of skin tumors by computer vision is demonstrated. The utility of the relative color concept is…”
Get full text

Identification of variegated coloring in skin tumors: neural network vs. rule-based induction methods by Durg, A., Stoecker, W.V., Cookson, J.P., Umbaugh, S.E., Moss, R.H.

“…The use of neural networks for automatic identification of variegated coloring, which is believed to be one of the most predictive features for malignant…”
Get full text

Thermographic image analysis method in detection of canine bone cancer (osteosarcoma) by Amini, M., Peng Liu, Umbaugh, S. E., Marino, D. J., Loughin, C. A.

“…Bone cancer is a pathologic condition which may occur for both humans and canines. This tumor develops quickly from within the bone tissue and become painful…”
Get full text

Automatic mask creation and feature analysis for detectionof IVDD in canines by Afruz, J, Phelps, J, Umbaugh, S E, Marino, D J, Loughin, C A

“…Intervertebral disc disease (IVDD) is a condition that affects both humans and canines. This disease is painful and degrades the quality of life for those that…”
Get full text

Melanoma and seborrheic keratosis differentiation using texture features by Deshabhoina, Srinivas V, Umbaugh, Scott E, Stoecker, William V, Moss, Randy H, Srinivasan, Subhashini K

“…To explore texture features in two-dimensional images to differentiate seborrheic keratosis from melanoma. A systematic approach to consistent classification…”
Get more information

Unsupervised color image segmentation: with application to skin tumor borders by Hance, G.A., Umbaugh, S.E., Moss, R.H., Stoecker, W.V.

“…The images used in this research were digitized from 35mm color photographic slides obtained from a private dermatology practice and from New York University…”
Get full text

Feature extraction in image analysis. A program for facilitating data reduction in medical image classification by Umbaugh, S.E., Wei, Y.-S., Zuke, M.

“…Images are important for many biomedical applications. Here, the authors focus on the feature-extraction part of the image analysis process. The following…”
Get full text

CVIPtools: A software package for computer imaging education by Zuke, Mark, Umbaugh, Scott E.

“…New computer imaging software is described. CVIPtools illustrates principles of computer imaging and enables rapid development of complex algorithms. The…”
Get full text

Unsupervised color image segmentation by Hance, Gregory A, Umbaugh, Scott E, Moss, Randy H, Stoecker, William V

“…Six different color segmentation methods and their effectiveness are compared as part of an overall border finding algorithm. Among the methods considered, the…”
Get full text

Feature extraction in image analysis by Umbaugh, Scott E, Wei, Yansheng, Zuke, Mark

“…The feature-extraction part of medical image analysis is discussed. A feature vector represents an image by carrying out measurements on a set of features. The…”
Get full text